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    Enables autonomous agents to discover and bid on unused LLM token quota through a machine-to-machine secondary exchange protocol. It utilizes a Proof-of-Residue handshake to verify compute capacity and facilitate the real-time acquisition of verified residue tokens.
    MIT
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    Enables AI agents to perform native trading on True Markets by providing tools for price lookups, balance management, and secure trade execution with quote caching. It replaces fragile CLI-based workflows with structured JSON responses and persistent authentication for more reliable financial operations.
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    MIT
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    Enables AI assistants to query KumoRFM for predictive analytics on relational data, including graph management, natural language to PQL conversion, and training-free predictions.
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    MIT
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    Production-grade MCP server for the Google Tag Manager API v2 with read-only GA4 (Admin + Data API) tooling. 107 tools covering the full GTM surface, including server-side containers. Ships read-only: writes, publishes, and deletes are each gated behind separate opt-in flags, every mutation requires per-call confirmation, and a dry-run mode simulates changes. Includes container audits
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    MIT
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    Transform your non-existent or unreadable docs into an intelligent, searchable knowledge base that actually answers those 'basic questions' before they're asked.
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    The Tencent RTC MCP Server provides real-time communication capabilities such as audio and video chat. By integrating this MCP Server into your application or project, you can easily implement secure, high-quality real-time voice and video communication.
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    ISC
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    Connects AI assistants to ITM Platform for searching projects, inspecting budgets, creating tasks, logging risks and issues, and updating project details via natural language.
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    MIT
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    MCP server that lets Claude analyze huge files (logs, dumps, etc.) via a sandboxed Python REPL and recursive language models, keeping content out of the prompt. Zero-setup with Claude Code login, Docker sandbox by default, and tools for loading, searching, chunking, and querying large contexts.
    MIT
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    Create and manage LinkedIn ad campaigns as drafts via natural language, supporting campaign groups, targeting, creatives, and audience uploads through MCP tools.
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    MIT
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    An implementation of the Recursive Language Models architecture that enables AI agents to process massive documents by programmatically decomposing them into sub-queries. It allows for cost-effective and accurate reasoning across millions of tokens by treating long-form data as an external environment for root and worker models.
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    MIT
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    Enables AI assistants to read and update a user's personal manifest (portable context) through a secure, token-based connector.
    MIT
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    The open retrieval layer for AI agents. Index your entire project — code, docs, legal, research, data — and serve surgical context via MCP. FTS5 full-text search, optional semantic search (FastEmbed/ONNX), 10 built-in parsers, incremental auto-sync.
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    MIT
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    Enables the analysis of massive datasets by storing data in external variables via a sandboxed Python REPL instead of the model's context window. This allows users to process files larger than 100MB without polluting the context or hitting token limits.
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    Provides recursive language model capabilities to AI assistants, enabling efficient exploration of large contexts through iterative Python code execution.
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    Enables interaction with Google Tag Manager containers, tags, triggers, and variables through natural language, using OAuth authentication.